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In the yolov7-segmentation model, there are 80 classes provided by COCO, and with the yolov7-seg.pt file I obtained from your GitHub account, I am able to detect and perform segmentation on these 80 classes as desired. What I want is to add my own custom class to these 80 classes, so that the yolov7-seg.pt file would have a total of 81 classes. However, I don't want to retrain the other 80 classes, I only want to train my custom class.
For example, I have labeled images and their corresponding annotations for object "A", separated into train and val sets. I only want to train this object "A" and have the yolov7-seg.pt file contain 80 classes + class "A" (81 classes in total).
I believe this topic has been discussed a few times on yolov5, but all the discussions I found were from past years and were not clear.
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In the yolov7-segmentation model, there are 80 classes provided by COCO, and with the yolov7-seg.pt file I obtained from your GitHub account, I am able to detect and perform segmentation on these 80 classes as desired. What I want is to add my own custom class to these 80 classes, so that the yolov7-seg.pt file would have a total of 81 classes. However, I don't want to retrain the other 80 classes, I only want to train my custom class.
For example, I have labeled images and their corresponding annotations for object "A", separated into train and val sets. I only want to train this object "A" and have the yolov7-seg.pt file contain 80 classes + class "A" (81 classes in total).
I believe this topic has been discussed a few times on yolov5, but all the discussions I found were from past years and were not clear.
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